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   PixieDust release notes 1.1.2
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  <meta content="&#xA9;Copyright IBM Corporation 2018" name="copyright"/>
  <meta content="&#xA9;Copyright IBM Corporation 2018" name="DC.Rights.Owner"/>
  <meta content="&#xA9; Copyright IBM Corporation 2016, 2017, 2018" name="dcterms.rights"/>
  <meta content="2018-03-09" name="DC.date"/>
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   <h1>
    PixieDust release notes 1.1.2
   </h1>
   <p>
    Here's what's new in Release 1.1.2 (8 November 2017):
   </p>
   <p>
    <strong>
     Bug fixes
    </strong>
   </p>
   <ul>
    <li>
     <p>
      Fixed an issue with duplicate requests when running the StockViewer sample PixieApp as a web application (
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/483">
       #483
      </a>
      ).
     </p>
    </li>
    <li>
     <p>
      PixieDust can now run the same code in multiple notebooks locally with Spark. Previously, running the same code across multiple notebooks locally, such as PixieDust's
      <code>
       sampleData()
      </code>
      API, generated an error (
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/496">
       #496
      </a>
      ).
     </p>
    </li>
    <li>
     <p>
      Refactored PixieGateway into
      <a href="https://github.com/ibm-watson-data-lab/pixiegateway">
       its own GitHub repo
      </a>
      to run in IBM's Data Science Experience environment and
      <a href="pixiegateway.html">
       updated PixieGateway documentation
      </a>
      (
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/498">
       #498
      </a>
      and
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/495">
       #495
      </a>
      ).
     </p>
    </li>
   </ul>
   <p>
    <strong>
     Enhancements
    </strong>
   </p>
   <ul>
    <li>
     <p>
      Released alpha version of PixieGateway admin dashboard, with a streamlined UI. DevOps users of PixieGateway can now access a list of PixieApps deployed to the gateway and a list of running kernels with real-time statistics (
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/487">
       #487
      </a>
      and
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/501">
       #501
      </a>
      ).
     </p>
    </li>
    <li>
     <p>
      Added the ability to
      <code>
       display()
      </code>
      JSON directly. PixieDust now supports native rendering of data dictionaries, or an array of dictionaries, without having to first convert them into Pandas DataFrames (
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/489">
       #489
      </a>
      ).
     </p>
    </li>
    <li>
     <p>
      Added functionality to embed PixieDust charts into a regular web application, such as a web app that was not generated via PixieApp web publishing (
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/493">
       #493
      </a>
      ).
     </p>
    </li>
    <li>
     <p>
      Improved PixieApp web publishing to allow developers to publish to a specific kernel. Previously, all PixieApps were published into the default Python kernel (
      <a href="https://github.com/ibm-watson-data-lab/pixiedust/issues/486">
       #486
      </a>
      ).
     </p>
    </li>
   </ul>
   <p>
    <h3>
     Return to main topic for:
    </h3>
    <ul>
     <li>
      <a href="releasenotes.html">
       PixieDust Release Notes
      </a>
     </li>
    </ul>
   </p>
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